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cs.AI2026
Learning in Deep Networks under Dale's Constraint
Roy Abel, Shimon Ullman
Biologically plausible learning models aim to explain how neural circuits can implement effective learning under the constraints of real neurons. Although significant progress has…
cs.AI2023
Biologically-Motivated Learning Model for Instructed Visual Processing
Roy Abel, Shimon Ullman
As part of understanding how the brain learns, ongoing work seeks to combine biological knowledge and current artificial intelligence (AI) modeling in an attempt to find an efficie…